Laixi Shi - RankMe

56 papers A* 14A 2B 2Misc 4Journal 31Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization. CoRR Yihang Yao, Zhepeng Cen, Haohong Lin, Shiqi Liu, Zuxin Liu, Jiacheng Zhu, Zhang-Wei Hong, Laixi Shi, Ding Zhao
2026	J	`jnl`	Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity. CoRR Yingxuan Yang, Chengrui Qu, Muning Wen, Laixi Shi, Ying Wen, Weinan Zhang, Adam Wierman, Shangding Gu
2025	A*	`conf`	Breaking the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning. ICML Laixi Shi, Jingchu Gai, Eric Mazumdar, Yuejie Chi, Adam Wierman
2025	A	`conf`	Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data. AISTATS Chengrui Qu, Laixi Shi, Kishan Panaganti, Pengcheng You, Adam Wierman
2025	J	`jnl`	KL-regularization Itself is Differentially Private in Bandits and RLHF. CoRR Yizhou Zhang, Kishan Panaganti, Laixi Shi, Juba Ziani, Adam Wierman
2025	J	`jnl`	MoDoMoDo: Multi-Domain Data Mixtures for Multimodal LLM Reinforcement Learning. CoRR Yiqing Liang, Jielin Qiu, Wenhao Ding, Zuxin Liu, James Tompkin, Mengdi Xu, Mengzhou Xia, Zhengzhong Tu, Laixi Shi, Jiacheng Zhu
2025	A*	`conf`	Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization. ICML Chenbei Lu, Laixi Shi, Zaiwei Chen, Chenye Wu, Adam Wierman
2025	A*	`conf`	Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning. ICLR Shangding Gu, Laixi Shi, Muning Wen, Ming Jin, Eric Mazumdar, Yuejie Chi, Adam Wierman, Costas J. Spanos
2025	J	`jnl`	Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning. CoRR Shangding Gu, Laixi Shi, Muning Wen, Ming Jin, Eric Mazumdar, Yuejie Chi, Adam Wierman, Costas J. Spanos
2025	J	`jnl`	SPiDR: A Simple Approach for Zero-Shot Safety in Sim-to-Real Transfer. CoRR Yarden As, Chengrui Qu, Benjamin Unger, Dongho Kang, Max van der Hart, Laixi Shi, Stelian Coros, Adam Wierman, Andreas Krause
2025	A*	`conf`	Tractable Multi-Agent Reinforcement Learning through Behavioral Economics. ICLR Eric Mazumdar, Kishan Panaganti, Laixi Shi
2024	A*	`conf`	BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning. NeurIPS Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao
2024	J	`jnl`	BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning. CoRR Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao
2024	J	`jnl`	Can We Break the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning? CoRR Laixi Shi, Jingchu Gai, Eric Mazumdar, Yuejie Chi, Adam Wierman
2024	J	`jnl`	Distributionally Robust Constrained Reinforcement Learning under Strong Duality. RLJ Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue
2024	J	`jnl`	Distributionally Robust Constrained Reinforcement Learning under Strong Duality. CoRR Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue
2024	J	`jnl`	Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity. J. Mach. Learn. Res. Laixi Shi, Yuejie Chi
2024	A*	`conf`	Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation. NeurIPS Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas J. Spanos, Adam Wierman, Ming Jin
2024	J	`jnl`	Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation. CoRR Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas J. Spanos, Adam Wierman, Ming Jin
2024	A*	`conf`	Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices. ICML Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie Chi
2024	J	`jnl`	Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices. CoRR Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie Chi
2024	J	`jnl`	Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data. CoRR Chengrui Qu, Laixi Shi, Kishan Panaganti, Pengcheng You, Adam Wierman
2024	A*	`conf`	Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms. NeurIPS Pierre Clavier, Laixi Shi, Erwan Le Pennec, Eric Mazumdar, Adam Wierman, Matthieu Geist
2024	J	`jnl`	Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization. CoRR Chenbei Lu, Laixi Shi, Zaiwei Chen, Chenye Wu, Adam Wierman
2024	J	`jnl`	Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes. RLJ He Wang, Laixi Shi, Yuejie Chi
2024	J	`jnl`	Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes. CoRR He Wang, Laixi Shi, Yuejie Chi
2024	A*	`conf`	Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty. ICML Laixi Shi, Eric Mazumdar, Yuejie Chi, Adam Wierman
2024	J	`jnl`	Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty. CoRR Laixi Shi, Eric Mazumdar, Yuejie Chi, Adam Wierman
2024	B	`conf`	Scalable Dynamic Resource Allocation via Domain Randomized Reinforcement Learning. GLOBECOM Yiqi Wang, Laixi Shi, Martin Hyungwoo Lee, Jaroslaw Sydir, Zhu Zhou, Yuejie Chi, Bin Li
2024	J	`jnl`	Tractable Equilibrium Computation in Markov Games through Risk Aversion. CoRR Eric Mazumdar, Kishan Panaganti, Laixi Shi
2023	A	`conf`	A trajectory is worth three sentences: multimodal transformer for offline reinforcement learning. UAI Yiqi Wang, Mengdi Xu, Laixi Shi, Yuejie Chi
2023	—	`conf`	Offline Reinforcement Learning with On-Policy Q-Function Regularization. ECML/PKDD (4) Laixi Shi, Robert Dadashi, Yuejie Chi, Pablo Samuel Castro, Matthieu Geist
2023	J	`jnl`	Offline Reinforcement Learning with On-Policy Q-Function Regularization. CoRR Laixi Shi, Robert Dadashi, Yuejie Chi, Pablo Samuel Castro, Matthieu Geist
2023	—	`—`	Provable Algorithms for Reinforcement Learning: Efficiency, Scalability, and Robustness Laixi Shi
2023	A*	`conf`	Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. NeurIPS Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao
2023	J	`jnl`	Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. CoRR Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao
2023	A*	`conf`	The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. NeurIPS Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
2023	J	`jnl`	The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. CoRR Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
2022	A*	`conf`	Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. NeurIPS Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao
2022	J	`jnl`	Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. CoRR Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao
2022	J	`jnl`	Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity. CoRR Laixi Shi, Yuejie Chi
2022	A*	`conf`	Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. ICML Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2022	J	`jnl`	Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. CoRR Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
2022	J	`jnl`	Settling the Sample Complexity of Model-Based Offline Reinforcement Learning. CoRR Gen Li, Laixi Shi, Yuxin Chen, Yuejie Chi, Yuting Wei
2021	A*	`conf`	Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. NeurIPS Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi
2021	J	`jnl`	Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. CoRR Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi
2021	Misc	`conf`	Fusion-Based Digital Image Correlation Framework for Strain Measurement. ICASSP Laixi Shi, Dehong Liu, Masaki Umeda, Norihiko Hana
2021	J	`jnl`	Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently. IEEE Trans. Inf. Theory Laixi Shi, Yuejie Chi
2021	B	`conf`	Robust Camera Pose Estimation For Image Stitching. ICIP Laixi Shi, Dehong Liu, Jay Thornton
2020	Misc	`conf`	Data Quality-Informed Multiple Occupant Localization using Floor Vibration Sensing. HotMobile Laixi Shi, Yue Zhang, Shijia Pan, Yuejie Chi
2020	Misc	`conf`	Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently. ICASSP Laixi Shi, Yuejie Chi
2020	Misc	`conf`	Using Mobile Sensing to Enable the Signal Quality Assessment for Infrastructure Sensing Systems. HotMobile Yue Zhang, Susu Xu, Laixi Shi, Shijia Pan
2019	—	`conf`	Device-free Multiple People Localization through Floor Vibration. DFHS@BuildSys Laixi Shi, Mostafa Mirshekari, Jonathon Fagert, Yuejie Chi, Hae Young Noh, Pei Zhang, Shijia Pan
2019	J	`jnl`	Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently. CoRR Laixi Shi, Yuejie Chi
2018	J	`jnl`	Micro Hand Gesture Recognition System Using Ultrasonic Active Sensing. IEEE Access Yu Sang, Laixi Shi, Yimin Liu
2017	J	`jnl`	Micro Hand Gesture Recognition System Using Ultrasonic Active Sensing. CoRR Yu Sang, Laixi Shi, Yimin Liu